Mobility Data Report

Configuration

Max. trips per user 20
Privacy budget 10.0
User privacy True
Analysis selection ['overview', 'place_analysis']
Evaluation dev. mode False

Overview

Dataset statistics

Number of records 5706
Distinct trips 2895
Number of complete trips (start and and point) 2811
Number of incomplete trips (single point) 84
Distinct users 181
Distinct locations (lat & lon combination) 5000

Missing values

User ID (uid) 88
Trip ID (tid) 54
Timestamp (datetime) 0
Latitude (lat) 11
Longitude (lng) 46

Temporal properties

Number of trips over time

2022-02-15T17:09:22.158627 image/svg+xml Matplotlib v3.5.0, https://matplotlib.org/

Distribution

Min. 2008-07-27
25% 2008-07-27
Median 2009-01-24
75% 2009-05-26
Max. 2011-07-22

Number of trips per weekday

2022-02-15T17:09:22.326352 image/svg+xml Matplotlib v3.5.0, https://matplotlib.org/

Number of trips per hour of day split by weekday and weekend

2022-02-15T17:09:22.504091 image/svg+xml Matplotlib v3.5.0, https://matplotlib.org/

Place analysis

Visits per tile

Points outside the given tessellation: 579
2022-02-15T17:09:23.063882 image/svg+xml Matplotlib v3.5.0, https://matplotlib.org/

The following statistics give insights into the distribution of the visits over the tiles (mean, min, max and quartiles) - whether there are tiles that are visited more often than others or if the visits are distributed equally over all tiles.

Distribution

Min. 0.0
25% 0.0
Median 0.0
75% 3.0
Max. 21.0
A different way of visualizing the distribution of visits over tiles is achieved by the cumuluated sum of all visits: If only a few tiles include most of all visits, the curve has a steep increase in the beginning and a flat part at the end. If the visits are distributed equally over the entire tiles the line is a straight diagonal.
2022-02-15T17:09:23.230680 image/svg+xml Matplotlib v3.5.0, https://matplotlib.org/

Ranking most frequently visited tiles

1 385 (Id: 385): 1067
2 477 (Id: 477): 762
3 202 (Id: 202): 501
4 948 (Id: 948): 472
5 390 (Id: 390): 403
6 513 (Id: 513): 403
7 331 (Id: 331): 389
8 364 (Id: 364): 374
9 378 (Id: 378): 357
10 626 (Id: 626): 329

Visits per tile and time window

Weekday: absolute count

Weekday: deviation from average

Weekend: absolute count

2022-02-15T17:09:29.244216 image/svg+xml Matplotlib v3.5.0, https://matplotlib.org/

Weekend: deviation from average

2022-02-15T17:09:30.274696 image/svg+xml Matplotlib v3.5.0, https://matplotlib.org/